Titlebook: Big Data Intelligence for Smart Applications; Youssef Baddi,Youssef Gahi,Loai Tawalbeh Book 2022 The Editor(s) (if applicable) and The Aut

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Classification of Malicious and Benign Binaries Using Visualization Technique and Machine Learning s by combining DAISY and HOG features. Then a comparative study of machine learning algorithms leads us to a final efficient classifier that reaches an accuracy of 97,36% using Random Forest classification algorithm.

BROOK

CANE

盤旋

Brochure

惰性氣體

流利圓滑

Multi-agent Systems for Distributed Data Mining Techniques: An Overview,munication and coordination capabilities. This goal-oriented mechanism supports distributed data mining (DM) to implement various techniques for distributed clustering, classification, and prediction. Different distributed DM (DDM) techniques, MASs, the advantages of MAS-based DDM, and various MAS-b

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Time Series Data Analysis Using Deep Learning Methods for Smart Cities Monitoring,n the history of the variable of interest. They work by capturing patterns in historical data and extrapolating them into the future. The Times Series features recurring structures that can be captured through careful and precise analysis of its performance. Machine Learning-based methods are able t

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Watemelon

Facial Recognition Application with Hyperparameter Optimisation,ations utilise a certain set of hyperparameters to achieve the best recognition accuracy depending on the data set. There are several approaches to find the best set of these hyperparameters. They can be put into two categories: Manual optimisation and automated optimisation. By experimenting with b